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Wald-type chi-squared test statistic (model-based or robust)

Source: R/wald.R
waldchisq_test.Rd

This is a helper function and not intended for users

Usage

waldchisq_test(
  mod,
  restrictions = NULL,
  restrictions.phi = NULL,
  contrasts_DA = NULL,
  contrasts_DV = NULL,
  robust = FALSE
)

Arguments

mod

an object of class bbdml

restrictions

Optional. Defaults to NULL. Numeric vector indicating the parameters associated with the abundance to test, or character vector with name of variable to test. Note that 1 is the intercept associated with the abundance.

restrictions.phi

Optional. Defaults to NULL. Numeric vector indicating the parameters associated with the dispersion to test, or character vector with name of variable to test. Note that 1 is the intercept associated with the dispersion.

contrasts_DA

List. Optional. Constructs a contrast matrix. List elements should be characters specifying contrasts in the parameters within formula. Note that this is only available with "Wald" value for test.

contrasts_DV

List. Optional. Constructs a contrast matrix. List elements should be characters specifying contrasts in the parameters within phi.formula. Note that this is only available with "Wald" value for test.

robust

Should robust standard errors be used? If not, model-based standard arras are used. Logical, defaults to FALSE.

Value

Test statistic for Wald test.